What the data for this use case looks like
Large state-owned bank research reports primarily originate from the institution’s internal macro research department, financial markets division, and industry research teams. Update cadence centers on quarterly regular reports, paired with monthly market tracking and ad-hoc policy interpretation documents. Document structure follows a fixed format: abstract, macro environment analysis, segmented industry assessment, business implementation recommendations, and risk disclosure modules. Fields include full issuing institution name, release date, unique report ID, and associated regulatory policy number. Units adhere to financial statistical standard units such as basis points, hundreds of millions of yuan, and percentage.
What constraints these characteristics impose on model integration and configuration
The fixed structure of large state-owned bank research reports requires models to support long context parsing, to avoid truncating core business recommendations and risk disclosure content. Research reports produced across multiple departments require a unified metadata mapping rule configuration, to ensure standardized identification of fields such as issuing institution and release date. The high proportion of long documents requires adjusting file parsing and model call timeout thresholds, to prevent mid-processing interruptions. The presence of fixed fields requires enabling metadata extraction configuration, to enable accurate filtering during retrieval by dimensions such as issuing institution and associated policy number.
How to Set Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single large state-owned bank research reports can be dozens of pages long. Default timeout thresholds cannot complete full parsing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Packaged PDF files of single research reports have large volume, requiring support for large file uploads |
| Top Retrieval Results | Top 8–12 results | Large state-owned bank research reports cover a wide range of segmented fields. Sufficient retrieval results must be retained for model integration analysis |
| Similarity Threshold | 0.75–0.85 | Low-correlation research reports need to be filtered, while content required for cross-validation in the same field must be retained |
batchTaskTimeout | 1800 seconds | Sufficient time for parsing and model calls must be reserved when processing multiple research reports in batches |
enable_meta_extract | Enabled | Fixed metadata fields of large state-owned bank research reports need to be accurately extracted for subsequent precise retrieval |
Three Common Configuration Mistakes
- Phenomenon: A
408 Request Timeouterror is returned when calling a model or parsing a research report, or the platform prompts a task timeout. Cause: In version v4.9.3, the defaultPARSE_FILE_TIMEOUT_SECONDSvalue is 30 seconds. Users who do not adjust this configuration cannot adapt to the parsing and calling process for long research reports. - Phenomenon: Online debugging of batch execution nodes completes the full process, but only some loop steps are executed when calling via API, and all research report processing is not completed. Cause: The
batchTaskTimeoutparameter is not configured. The default batch task timeout value for API calls is shorter than the temporary timeout threshold for online debugging. - Phenomenon: Third-party large models cannot be called normally after integration, returning parameter incompatibility or model not found errors. Cause: Exclusive
max_tokensandtemperatureparameters are not configured for the qwen next thinking model, or the interface address and authentication information for the third-party model are not filled correctly.
How to Confirm Configuration is Complete
- Upload a single large state-owned bank research report PDF, verify that the parsed document content is complete without truncation, and that metadata fields are fully extracted.
- Initiate a single long document model call request, confirm that the task completes within the preset timeout period without timeout errors.
- Submit a batch research report processing task, compare the execution results of online debugging and API calls, and confirm that both processes are consistent.
- Trigger a model call exception, obtain the unique request ID via logs, and confirm that log collection configuration is operating correctly.
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.